Jobs at Micron Technology

Identifies and resolves semiconductor process and equipment issues; leads equipment qualification, process optimization, yield improvement, cost reduction, and new process validation. Manages supplier quality and audits, supports manufacturing controls, and maintains MES databases. Analyzes process data, identifies improvement opportunities, collaborates cross-functionally, and applies statistical methods, automation, and AI-enabled tools in manufacturing operations.

Analyze semiconductor manufacturing signals, process parameters, and test results using Python, SQL, statistics, visualization, and AI-enabled methods. Identify sources of variability, yield loss, and product rejects; develop analytical models and data-driven recommendations for process stability and quality improvement. Document findings, prepare technical reports and presentations, and collaborate with cross-functional engineering stakeholders during a five-month full-time internship.

Operate metrology and inspection equipment, perform measurements, monitor tool health, and collect and analyze defect data. Support engineers with defect investigations, root cause analysis, process optimization, equipment troubleshooting, recovery, and preventive maintenance. Ensure compliance with operational and quality procedures while using AI-assisted analytics to improve efficiency.

Lead digital transformation strategies and programs across operations, engineering, facilities, IT, and supply chain. Identify opportunities for AI, advanced analytics, workflow automation, and predictive decision-making. Develop business cases, transformation roadmaps, planning tools, dashboards, governance processes, and value realization frameworks. Drive space and utilities planning digitalization, automation initiatives, stakeholder alignment, change management, user adoption, and executive reporting.

Lead semiconductor process development and optimization during new-product transfers to high-volume manufacturing. Collaborate with technology development, manufacturing, suppliers, and safety teams to improve yield, quality, performance, and cost. Develop process-control and roadmap models, support hardware and module optimization, benchmark suppliers, and apply AI, LLMs, and agentic workflows to manufacturing processes. International travel to manufacturing and development sites is required.

Develop a prototype AI-enabled equipment health monitoring and reliability analytics framework. Analyze alarms, downtime, maintenance, and performance data; create health indicators; apply statistical and machine learning methods for anomaly detection and degradation analysis; build an intelligent monitoring agent and interactive dashboard; and document and present findings to engineering stakeholders.

Participate in a five-month project optimizing NAND component test flows through manufacturing data analytics, automation, statistical analysis, machine learning, and enterprise AI. Retrieve, prepare, analyze, and visualize manufacturing data; develop scripts, models, reports, and automation tools; identify product recovery and test-flow improvement opportunities; validate AI-generated outputs; and present documented findings and recommendations. Collaborate with engineers while strengthening technical documentation, communication, and problem-solving skills.

Develop software and data-driven solutions for semiconductor probe operations. Responsibilities include building real-time Tableau reporting and monitoring, automating material tracking and product validation, improving issue-resolution turnaround times, identifying process improvements through analytics, and collaborating with global Probe teams. The role also involves responsibly integrating AI-assisted tools and supporting continuous improvement across Engineering and Production operations.

Analyze semiconductor packaging, assembly, test, inline signals, process parameters, and manufacturing data to identify process variability and yield-loss contributors. Apply statistical analysis, visualization, programming, and AI-enabled workflows to investigate reject rates, develop engineering recommendations, document findings, and present results through a technical report and presentation.

Develop and maintain semiconductor metrology measurement recipes to improve yield, quality, process control, equipment availability, and cost. Qualify tools, implement SPC monitoring, optimize maintenance and utilization, analyze fab data, support new technology development, collaborate with suppliers and global fab teams, and train engineers on recipe maintenance, troubleshooting, recovery, and maintenance. Apply sampling strategies and responsible AI-enabled tools to improve operational effectiveness.

Supports semiconductor product quality through inspections, measurements, testing, data analysis, troubleshooting, failure analysis, and root-cause investigations. Prepares engineering reports, assists corrective and preventive actions, supports audits and quality-system compliance, and collaborates with manufacturing and engineering teams to resolve defects. Uses AI-enabled tools for analysis and documentation and contributes to continuous improvement and defect-reduction initiatives.

Supports semiconductor manufacturing operations by monitoring production workflow and product movement, following work instructions, escalating abnormalities, collecting and interpreting data, maintaining production records, and contributing to yield, productivity, quality, and continuous improvement initiatives. Collaborates with production, engineering, quality, and operations teams while using digital and AI-enabled tools to improve efficiency and decision-making. Requires the ability to work 12-hour shifts.

Perform preventive and corrective maintenance, monitoring, troubleshooting, and documentation for critical facility systems supporting semiconductor manufacturing. Diagnose electrical, mechanical, instrumentation, and utility issues; coordinate with contractors, vendors, and engineering teams; support infrastructure upgrades, reliability, sustainability, and safety programs. The role requires 12-hour shift work and use of approved AI-enabled digital tools.

Develop and improve NAND cell reliability through electrical characterization, high-volume wafer- and component-level experiments, statistical analysis, failure-mechanism identification, and risk assessment. Coordinate process, trim, and test strategies to meet JEDEC and internal qualification requirements. Provide reliability updates and roadmap feedback to cross-functional engineering teams, while contributing to next-generation NAND technology development and product capability projections.

Maintain, troubleshoot, calibrate, and qualify advanced semiconductor manufacturing equipment. Monitor alarms, restore equipment, document maintenance activities, and support continuous improvement. Diagnose mechanical, electrical, pneumatic, and electromechanical issues while collaborating with engineers, manufacturing teams, and vendors. Follow cleanroom, safety, and operating procedures and use approved AI-enabled tools to improve diagnostics and operational effectiveness. The role requires working 12-hour shifts.

Manages strategic programs and projects for Micron’s Fab10 site, coordinating roadmaps, schedules, budgets, scope, risks, performance updates, and cross-functional stakeholder communication. Supports strategic initiatives involving infrastructure, people, competitiveness, manufacturing efficiency, sustainability, procurement, facilities, and finance. Partners with frontend operations networks and site leadership to prioritize projects, implement valuable activities, and drive continuous improvement using appropriate digital and AI-enabled tools.

Performs electrical failure analysis and fault isolation on advanced semiconductor devices to identify root causes and improve product quality, reliability, and yield. Uses photon, thermal, and laser-stimulating tools, probe-test data, layouts, schematics, and physical failure analysis techniques. Develops fail-signature models, interprets findings, prepares technical reports, and collaborates with engineering teams. The role also applies AI-assisted tools responsibly to improve analysis efficiency and supports continuous improvement initiatives.

Manages building maintenance and external compound services, including facilities systems administration, janitorial and cafeteria services, civil and structural work, landscaping, pest control, sanitation, office equipment, renovations, and furniture planning. Develops service scopes, procedures, risk assessments, and performance metrics; assigns maintenance tasks; leads operations and projects; supports budgets and schedules; trains technicians; and ensures safety, customer satisfaction, and continuous improvement.

Supervise and implement semiconductor manufacturing tool-installation projects, facilities utility routing, and cleanroom maintenance. Coordinate contractors, equipment engineers, schedules, workforce, budgets, permits, safety procedures, and hookup drawings. Manage utilities databases, root-cause analysis, corrective actions, documentation, service providers, and cost-reduction initiatives. Support new-tool planning, facilities base-build evaluations, reliability improvements, global best practices, and responsible use of AI-enabled tools.

Drives wafer-level reliability and quality for advanced NAND flash products through data analysis, failure diagnostics, reliability test development, process optimization, and product qualification. Collaborates with fab, quality, and external teams to investigate failures, establish sampling plans, validate diagnostics, mitigate excursions, implement corrective actions, and improve defectivity, manufacturing performance, reliability, and time to market.